Issues in Antenna Optimization - A Monopole Case Study (original) (raw)
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SN applied sciences, 2023
In this research, a novel method is proposed optimization of flatted ultra-wideband monopole antennas. In this method, the shape of the antennas is described in general terms. This general description allows the antennas to take all kinds of shapes during the optimization process and finally, an optimal form for an ultra-wideband monopole is obtained. The parameters of this general description are obtained according to the design constraints in a two-stage optimization process (including global and local optimization). The optimization to achieve the acceptable impedance matching in the working band and reduction of the distortion of the radiation waves is to be done. Due to the efficiency of the optimization method, by applying strict-tightening constrictions on the size of the antenna, smaller antennas with the same performance as the best flat monopole antennas are designed. The main optimization program runs in Matlab Software, but the analysis of antennas at each stage of optimization is executed in the CST Microwave Studio Software. For this purpose, with the help of Visual Basic for Applications programming, an automated link is created between the MATLAB Software and CST Microwave Studio Software. The optimization results showed the ability of this method to design very small antennas with desired functional characteristics. The results showed that the return loss for the entire operational spectrum is below − 10 dB. Also, the correlation coefficient of the proposed planar super wideband monopole antenna has different values in different radiation angles.
A new optimization method for antenna design
Annales Des Télécommunications, 1985
The authors consider the class of conformal antennas consisting of bounded smooth closed curves in two dimensions and determine the surface field which maximizes power radiated in angular sector. The problem is cast as one of optimal control with the control set consisting of the surface current, constrained to have energy bounded by some constant, and the cost functional is taken to be the far field power radiated in an angular sector. A constructive algorithm is presented for approximating both the optimal value of the cost functional and the surface current which produce this optimal value. Both TE and TM polarizations are considered.
Multiminima Heuristic Methods for Antenna Optimization
IEEE Transactions on Antennas and Propagation, 2006
Two general approaches to multiminima optimization are considered. The first approach is based on repetition of a single minima method (e.g., the Nelder-Mead simplex applied to the best solution in a set of random trials). The second approach is based on a coarse estimation of local minima using initial set of points and local optimization starting from these local minima (e.g., random search as a generator of the initial set of points and Nelder-Mead simplex as a local optimizer). A comparison of various optimization algorithms has been done on one analytical problem and two well-known examples of antenna design. It is found that: a) the multiminima method based on coarse estimation enables finding more minima with smaller number of iterations than that based on repetition, b) the best multiminima methods are comparable with the best single minima methods in a number of iterations needed for finding the global minima, and c) the multiminima method based on coarse estimation restarted with different weighting coefficients of multiobjective cost function enables efficient Pareto optimization.
Multi-objective optimization for antenna design
2008
This paper introduces a procedure for multi-objective optimization in antenna design. The problem described consists of the optimization of a seven element antenna array to improve the radiating performance. The three objectives considered are the minimization of the return loss, together with the minimization of the cross polarization and the mutual coupling between the ports; simultaneously, the design should satisfy a complex constraint on the far-field pattern. Since there is no single optimum to be found, the MOGT and MOGA-II (Game Theory-based and Genetic Algorithm) were used as multiobjective algorithms. The optimization of the antenna was carried out by employing a parametric CST MICROWAVE STUDIO® (CST MWS) model, performing a time domain analysis, and using ESTECO's modeFRONTIER4® multi-objective optimization and process integration tool. The distributed optimization search exploited the parallelization capabilities of the MOGT and MOGA-II algorithms, which allowed the simultaneous evaluation of several design configurations by running concurrent threads of the solver. The results obtained are very satisfactory, and the procedure described can be applied to even more complex antenna design problems.
Optimization of Linear Antennas - A Survey
International Journal of Computer Applications, 2017
Linear antennas are used as an alternative solution for large dimensioned antennas such as paraboloidal cylinders, offset focus paraboloids. This paper presents a review of various algorithms used for optimization of linear array such as Genetic Algorithm (GA), Particle swarm Optimization Algorithm (PSO), Accelerated Particle Swarm Optimization Algorithm (APSO), Simulated Annealing Algorithm (SA),Cuckoo Search Optimization Algorithm (CS), Flower Pollination Algorithm (FPA), Ant-Lion Optimization Algorithm (ALO), Invasive Weed Optimization Algorithm (IWO), Grey Wolf Optimization Algorithm (GWO), from the review it was observed that ant-lion Algorithm (ALO) is better for optimizing antenna currents.
Design of Novel Dual-Band Monopole Using Genetic Algorithms
Gy. tér 3., Budapest, H-1111, Hungary, Phone: +36 1 4634219, Fax: +36 1 4633289, E-mail: farkas@micro3.mht.bme.hu (3) As (2) above, but E-mail: nagy@mht.bme.hu (4) As (2) above, but ABSTRACT The design of dual-band monopole antenna for GSM and DCS1800 uplink and downlink bands is introduced. The antenna current distribution is calculated using the method of moments (MM) applied for the surface currents and the optimisation is performed using a heuristic optimisation method: the genetic algorithm. The monopole antenna was manufactured and measured. Topics: numerical methods for electromagnetic field calculations, integral equations, electromagnetic theory, antenna theory, heuristic optimisation, genetic algorithm, method of moments.
DESIGN OF OPTIMIZED HIGH FREQUENCY ANTENNAS
International Journal of Pure and Applied Mathematics, 2018
The paper presents the simulation design of monopole, dipole and folded dipole, Yagi-Uda and Rectangular patch antenna for different frequencies. Those three antennas are fabricated by using silicon substrate. The characteristics of the designed structure are investigated by using CST STUDIO SUITE software. The low profile nature of the antenna leads to very easy fabrication method and used to make it suitable for the application in wireless systems. It is developed to operate in the WLAN, Wimax& RADAR application. This paper presents the s-parametric analysis of all these mentioned antennas for wireless communication applications. Also the design involves reduction in the antenna size and increasing the overall performance of the antenna system.
Surrogate-Based Design Optimization of Multi-Band Antenna
The Applied Computational Electromagnetics Society Journal (ACES)
In this work, design optimization process of a multi-band antenna via the use of artificial neural network (ANN) based surrogate model and meta-heuristic optimizers are studied. For this mean, first, by using Latin-Hyper cube sampling method, a data set based on 3D full wave electromagnetic (EM) simulator is generated to train an ANN-based model. By using the ANN-based surrogate model and a meta-heuristic optimizer invasive weed optimization (IWO), design optimization of a multi-band antenna for (1) 2.4–3.6 GHz for ISM, LTE, and 5G sub-frequencies, and (2) 9–10 GHz for X-band applications is aimed. The obtained results are compared with the measured and simulated results of 3D EM simulation tool. Results show that the proposed methodology provides a computationally efficient design optimization process for design optimization of multi-band antennas.